Driving Innovation and Powering Advanced Analytics with Neo4j

Neerav Vyas, Realogy, discusses the value of using Neo4j to strengthen lead conversion, user experience and agent management.

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21 Reading Recommendations for 2021

Check out the 21 books to add to your 2021 reading list in 2021, on topics including graph technology and AI/machine learning.

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The Top 7 Neo4j Webinars of 2020

Check out the top Neo4j webinars from 2020, exploring key topics like human trafficking, responsible AI, graph data science and more.

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Evolving Your Application of GDS Technology

Discover how graph data science helps you make better decisions, increase quality predictions and creat new ways to innovate and learn.

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Updated GraphAcademy Course: Using a Machine Learning Workflow for Link Prediction

Discover what to expect from the updated GraphAcademy course: Using a Machine Learning Workflow for Link Prediction.

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The Great Hookup: Announcing Neo4j Connector for Apache Spark

Announcing a new and great integration tool that moves and reshapes data bi-directionally between Neo4j and Apach Spark.

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An Explosion of Use Cases: 5-Minute Interview with Rik Van Bruggen

Check out this week’s 5-Minute Interview with Rik Van Bruggen, Vice President for Sales, Neo4j, about his experience with Neo4j.

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Insider Guide to Graph Data Science: First, a Brief Overview

Check out the first installment in this blog series on insider tips and tricks for the Neo4j Graph Data Science Library.

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Elsevier Boosts Global COVID-19 Research with Neo4j

Learn how Elsevier, a Dutch publishing and analytics company specializing in scientific and medical content uses Neo4j for COVID-19 research.

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Predicting Fraud: 5-Minute Interview with Marius Hartmann

Check out this week’s 5-Minute Interview with Marius Hartmann, Chief Advisor at the Danish Business Authority, about predicting fraud.

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5-Minute Interview: Graph-Powered Machine Learning with Dr. Alessandro Negro

Check out this 5-minute interview with Dr. Alessandro Negro, Chief Scientist at GraphAware, and author of Graph-Powered Machine Learning.

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Combating Money Laundering: Graph Tech Fights Serious Crimes

Read the first blog in Neo4j’s new six-part series on how Neo4j’s graph technology can help you combat money laundering.

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Building the Enterprise Knowledge Graph

Learn how to build and implement an enterprise knowledge graph from the groun up using the Google Drive API and Neo4j Python.

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Missed Connections: A Tale of a Porsche, Paul Newman and a Relational Database

Discover the benefits of a graph database via a story about auctioning off the Porsche 935 Paul Newman co-drove to a second place in the 1979 LeMans race.

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Your World Seen Through Your Eyes with Neo4j Bloom

Andreas Kolleger discusses Neo4j Bloom and the possibilities it opens up for enterprise organizations across their departments.

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Neo4j Online Developer Expo & Summit Is Back!

NODES 2020 is a free, multi-track, one-day virtual conference loaded with highly technical presentations delivered by Neo4j experts on graph-related topics. October 20, 2020 8:00 – 17:00 EDT | 12:00-21:00 GMT Last year was a hit! With five tracks, over… Read more →

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Augmented Intelligence: 5-Minute Interview with Demian Bellumio, NEORIS

Check out this week’s 5-minute interview with Demian Bullemio of NEORIS about his experience with graphs and favorite use cases.

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Graph-Powered Recommendations: How Smart Recommendations Drive Value

Read blog one in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.

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Practical Applications of Neo4j 4.0

Learn about practical applications in the newly released Neo4j 4.0, with our partner GraphAware using specific examples to showcase the benefits.

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